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The percentage of correct classification was 76.32%.
Figure 9 The probabilities of correct classification given in percentages.
The proposed ANN achieved a percentage of 88.5% of correct classification on testing set cases.
The percentage of correct classification was 100% for compounds of the training set.
The leave-one-out cross validation procedure showed an 88.23% of correct classification.
Identification of grindability in stationary operation gives near 100% of correct classification under the analysed conditions.
In the diagnosis experiments, the performance achieved was approximately 81% of correct classification.
The probability of correct classification depending on the feature vector dimensionality is shown in Figure 12.
The highest probability of correct classification, equal to 83%, is provided using the CIB features.
Figure 12 Probability of correct classification as a function of the feature vector dimensionality.
Image classification allows to obtain as far as 70.23 % of correct classification for NC.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com